bitgrit Launches Second AI Competition To Revamp Wasteful Agricultural Practices
With environmental issues more important than ever, we’re seeking top AI algorithms to better allocate precious resources.
Here at bitgrit, we just launched our second AI competition on our online platform in partnership with the precision farming startup klimazone Labs. By working closely with klimazone, we put together a prompt inspired by their goal of reducing the environmental impact of farming.
This competition — which is open for submissions from now until November 11 — asks data scientists to develop an AI algorithm that detects and predicts the types of crops in fields using a dataset of high-resolution satellite images from the Sentinel Missions. By doing so, klimazone will be one step closer to better allocating vital resources such as fertilizer and water, making these resources more available in places where they are sorely needed.
Our goal for this competition is to help revolutionize the way information about fields and crops are gathered, managed, and used to make data-driven decisions in farming. The prize money for the first-place submission is $150, for second place is $75, and third place is $50.
Regarding this competition, bitgrit CEO Frederik Bussler commented, “Using AI for precision agriculture can increase yield and reduce resource consumption, which are both desperately needed in a world where over 1 billion people lack sufficient nutrition and clean drinking water.” He continued, “In short, we need innovative solutions to feed the world, and AI is a promising technology for doing so.”
This precision farming competition will be more challenging than our first one, which prompted data scientists to predict a dog’s breed based on its picture. However, the solution to this problem is an incredibly important one in today’s age, with the number of fires in the Amazon rainforests up 85% from last year and many asking the question, “How can we do better for the environment?”
Here is an overview of the competition:
- Prompt: Make an algorithm that can detect and classify crop types from high-resolution satellite images
- Dataset: Sentinel-2 high-resolution imaging data
- Maximum number of submissions per participant: 15
- Deadline: November 11, 12:00 noon UST
- Winners announced: Mid-November
To learn more about the competition and submit your own solution for it, check out our AI competition website here.
Note: This competition is now closed. You can find a list of bitgrit’s other AI competitions on our website here.
